Description: This brief article details my observations as a senior consultant for a leading actuarial consultancy across the Middle East and South Asia regarding ORSA. It highlights key challenges, potential solutions and describes the dichotomy of management and consultant paradigm.

Description: Humor in the workplace can improve productivity. This article describes a typical office relationship problem and how humor helped disparate teams work together.

Description: Model governance must deal with the effects organizational culture, including normalization of behaviors that are inconsistent with appropriate governance.

Description: This is the first of a 3-part article. It discusses the importance of good communications.

Description: Article discussing how U.S. insurance company financial reporting will undergo an unprecedented level of change within the next several years, including a convergence of US GAAP with international accounting standards. Communication to the public issues are emphasized

Description: Emotional Intelligence: Why you need it, and how you can increase it

Description: Risk management and capital budgeting are two critical components of the corporate decision process. They often need to be considered jointly at the corporate level because of their natural interaction through the dependent risk exposures and other synergetic relationships within an intricate corporate structure in a dynamic business environment. . This paper develops an integrated framework that aligns these two important corporate strategies across business divisions to optimize the streamlined enterprise strategic goal in a multi-period setting. The proposed integrated framework can serve as a practical guideline for corporate executives to optimally coordinate capital budgeting and risk management at the enterprise level.

Description: People naturally observe risk in the form of the range of experienced gains and losses which is usually represented in statistical terms by standard deviation. In most cases, there are not enough observed values to reliably discern the true amount of losses that are possible in extreme situations. Statistical techniques that have long been applied to insurance company risks are being used to extrapolate from observed risk to extreme tails of the distribution of gains and losses. These processes are essentially an extrapolation from the “known” risk of volatility near the mean to “unknown” risk of extreme losses. “Fat tails” is a term often applied to risks where the likely losses in rare situations significantly exceeds the predictions of a Gaussian (“thin tailed”) distribution. This paper will look at the relationship between the observed risk and the extreme risk in statistical insurance r isk models and discuss how we might create a discussion among model users about the appropriateness of that relationship for specific types of risks.